Conceptual image of a person using an XR headset to handle an object beside a silver humanoid robot

Teach robots
the real world.

Targeted robotics training data,
collected through guided XR missions.

Robot training still has
blind spots.

01

Collection costs add up.

Dedicated hardware, operator time and resets make it costly to repeat demonstrations across tasks and locations.

02

The examples you need are missing.

Existing datasets may not cover your exact task, objects or success criteria. More footage does not guarantee the right examples.

03

Different instructions. Different starting points.

Recordings of the same task may use different instructions, object positions and starting conditions. Without that context, they are harder to combine into a consistent training set.

04

More recordings. Uneven quality.

Different demonstrators bring different levels of skill. Mixing weak and strong demonstrations can make learning harder.

The experience you’re missing.
Collected through XR.

01

Define once. Deploy at scale.

Define your task and environment. Designed to deploy each mission automatically to tens or hundreds of thousands of existing XR headsets.

02

Your exact task.

Specify the missing skill, objects and success criteria. Give every contributor clear, step-by-step XR instructions.

03

Your controlled environment.

Define the scene layout, object positions and permitted variations. Capture coordinated head, upper-body and hand motion on supported setups.

04

Many people. Shared criteria.

Designed to collect from many contributors under one acceptance protocol, reviewing task completion and recording quality before delivery.

05

Robot-specific motion mapping.

Automate retargeting for selected robots, adapting movements to their joints and physical limits with robot-specific validation.

Connecting robot challenges
to real human experience.

Meet the A2ZRO platform.

Robotics teams

A2ZRO Missions

Performed by XR contributors
Concept photograph of an engineer using an iPad-style task editor, with a bounding box selecting the mug in a labeled kitchen photo and the instruction: Pick up the mug and place it on the tray.
01

Specify what your robot needs to learn

Frame from the Quest recording: first-person tracked hands in a virtual kitchen, with a mug beside an empty tray
Pick up
02

Users receive guided XR missions

Frame from the Quest recording: the mug has been placed on the tray, with tracked hand movement trails visible
Task completed
03

Full body movement is tracked

Concept illustration of a humanoid holding a mug beside a robotics engineer, representing model training with accepted demonstrations
04

Bring targeted data into model training

Submit taskXR missionData extractionAccepted data
A2ZRO
Submit taskXR mission
Data extractionA2ZROAccepted data

Real tasks.
Guided by XR.

Follow a task from human movement to robot replay. Explore the motion and attention behind each action.

Become a Contributor

Start with
one skill.

Bring a task your robot struggles with. We’ll scope a focused data collection pilot together.

Discuss your pilot
01

Bring a concrete task.

Tell us what your robot needs to do, where it falls short and which examples are missing.

02

Agree on a useful dataset.

Together, we define the variations, tracking signals, demonstration count and acceptance criteria.

03

Plan how you’ll evaluate it.

Agree on the delivery format and how your team will test the data in its training pipeline.

Meet the founders.

Robin Gansäuer

Robin Gansäuer

  • Master’s in Computer Science & Business
  • AI research at the University of Oxford
  • Data science background
  • VC experience at Earlybird & Oxford Seed Fund
Tobias Reidl

Tobias Reidl

  • Computer science dropout
  • AR developer
  • AI Product Manager at SAP
  • Product Manager at an XR Med-Tech startup

Good questions.
Clear answers.

Give intelligence
some experience.

Bring a collection challenge.
Or join our future XR network.

Let’s scope your data pilot.

What does your model need to learn?

Or email tbr@alive-studios.io
A2ZRO · PRE-LAUNCH PREVIEW

A2ZRO is a working brand for a pre-launch concept in XR-guided robotics data collection.

A2ZRO is being developed by Robin Gansäuer and Tobias Reidl. Legal entity, registered address, business contact details and verified social profiles have not yet been supplied. These details remain to be added before a public commercial launch.

Trademark and domain availability have not been verified.